John Doxaras is a Chief AI Scientist and serial founder with nine years of industry experience and a deep academic grounding in theoretical physics from Cambridge and UOA/NTUA. He has built and scaled data-driven products across Europe, the Middle East, and the Americas, leading teams from early research at CERN and GEANT to commercial exits in performance marketing and mobile loyalty. His expertise spans distributed systems, real-time analytics, consumer behavior profiling, and high-performance scientific computing, with hands-on systems programming in C++, Python, Scala and functional languages. Beyond product and company leadership, he has a track record of applying quantum Monte Carlo methods, quantum error-correcting concepts and large-scale GRID computing to practical ML and data-mining problems. Currently focused on fine-tuning and distilling open-source AI models while running AI-first ventures and education programs, he blends deep research experience with entrepreneurial execution. An uncommon combination of particle-physics scale data experience and consumer marketing analytics informs his pragmatic approach to building robust AI systems.
9 years of coding experience
3 years of employment as a software developer
Theoretical Physics, Theoretical Physics at University of Cambridge
Bachelor of Science, Quantum Complexity, High Energy Physics, Non Linear Physicsal Modeling, Bachelor of Science, Quantum Complexity, High Energy Physics, Non Linear Physicsal Modeling at Ethnikon kai Kapodistriakon Panepistimion Athinon
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